National Journal of System and Information Technology

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Cognitive Ontology Enrichment For Semantic Information Retrieval


     

   Subscribe/Renew Journal


Information is Knowledge: Knowledge is Wealth. The combinations of concept with its associative relation, in a quantitative sense is said to be valid information. Relevant information retrieval through cognitive process is our main objective of this paper. The specification of Concept with its relation in an organized way is said to be ontology. Here we use Cognition based ontology for information retrieval which can be implemented in a semantic based information retrieval system.

The main contribution of this paper has been organized in three phase. One is the creation of domain ontology where, here we are using event based sports ontology. The second phase is the conversion of HTML pages through a designed Web Crawler to an entity based XML page and the third phase is the mapping of the entity XML to sports domain ontology. This domain ontology can be used for the refined Semantic information retrieval system.


Keywords

Ontology, NLP, Syntactic Analysis, Semantic Analysis, Owl, Machine Learning
Subscription Login to verify subscription
User
Notifications
Font Size


  • Linyang Yu "Introduction to the Semantic Web and Semantic Web Services" Chapman & Hall/CRC Taylor & Francis Group 2007

  • Dean, M. and Schreiber, G., 2004, OWL Web Ontology Language Reference, W3C Recommendation, http://www.w3.org/TR/2004/REC-owl-ref-20040210/.S.

  • Jianhan Zhu,Victoria Uren, Enrico Motta "Espotter:Adaptive named Recognition for web browsing"(2004)

  • Ivan Bedini,Christopher Matheus and Benjamin Nguyen "Transforming XML Schema to OWL using Patterns" 2010

  • Toni Rodrigues,Pedor Rosa and Jorge Cardoso "Mapping XML to Existing Owl Ontologies" 2006

  • Hannes Bohring and Soren Auer "Mapping XML to OWL Ontologies" 2005.

  • G.Nagarajan,Dr.K.K.Thyagaharajan ”Linguistic Conversion of Syntactic to Semantic Web Page” “The Second International conference on Advances in Computing and Information Technology 2012,Publish on Springer

  • Alessandro Lenci et al "NLP based ontology learning from legal texts. A case study" (2006)

  • Yuri A Tijerino et al "Towards ontology generation from tables" Kluwer academic publishers (2004)

  • Sidi Benslimane et al "Towards ontology extration from data intensive web sites: An html forms based reverse engineering approach" International arab journal of information tecnology (2006)

  • Debajyoti Mukhopadhyay et al " A New semantic web services to translate HTML pages to RDF" Int, Conference of IT (2007)

  • HOOn Hwangbo et al " Reusing of information constructed in HTML document : a conversion of HTML to OWL" Int. conference on control,automation and systems (2008)

  • Kyumars Sheykh Esmaili, Hassan Abolhassani " A Categorization scheme for semantic web search engines"(2005)

  • Jianhan Zhu,Victoria Uren, Enrico Motta "Espotter:Adaptive named Recognition for web browsing"(2004)


Abstract Views: 360

PDF Views: 2




  • Cognitive Ontology Enrichment For Semantic Information Retrieval

Abstract Views: 360  |  PDF Views: 2

Authors

Abstract


Information is Knowledge: Knowledge is Wealth. The combinations of concept with its associative relation, in a quantitative sense is said to be valid information. Relevant information retrieval through cognitive process is our main objective of this paper. The specification of Concept with its relation in an organized way is said to be ontology. Here we use Cognition based ontology for information retrieval which can be implemented in a semantic based information retrieval system.

The main contribution of this paper has been organized in three phase. One is the creation of domain ontology where, here we are using event based sports ontology. The second phase is the conversion of HTML pages through a designed Web Crawler to an entity based XML page and the third phase is the mapping of the entity XML to sports domain ontology. This domain ontology can be used for the refined Semantic information retrieval system.


Keywords


Ontology, NLP, Syntactic Analysis, Semantic Analysis, Owl, Machine Learning

References